{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0f6116a7",
   "metadata": {},
   "source": [
    "# 百度智能云   通用物体和场景识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "d601280c",
   "metadata": {},
   "outputs": [],
   "source": [
    "###1、鉴权认证机制（获取Access Token）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "d3fc70ef",
   "metadata": {},
   "outputs": [],
   "source": [
    "# encoding:utf-8\n",
    "import requests \n",
    "\n",
    "# client_id 为官网获取的AK， client_secret 为官网获取的SK\n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=【官网获取的AK】&client_secret=【官网获取的SK】'\n",
    "response = requests.get(host)\n",
    "if response:\n",
    "    print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2eb3ad3b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'refresh_token': '25.aa4866c6f312cec38847c104a05d1f07.315360000.1964433038.282335-25904772', 'expires_in': 2592000, 'session_key': '9mzdCrFtlSsRak/Iz4odwQLRkNX3fPYyxdNkf6iPd+TszL0twC0dOIGhETT+wheQl2tvNz2h56/ApyYM6LAlJECkJ3d3Ww==', 'access_token': '24.159372e376adb72e5e835933779703ca.2592000.1651665038.282335-25904772', 'scope': 'public vis-classify_dishes vis-classify_car brain_all_scope vis-classify_animal vis-classify_plant brain_object_detect brain_realtime_logo brain_dish_detect brain_car_detect brain_animal_classify brain_plant_classify brain_ingredient brain_advanced_general_classify brain_custom_dish brain_poi_recognize brain_vehicle_detect brain_redwine brain_currency brain_vehicle_damage brain_multi_ object_detect wise_adapt lebo_resource_base lightservice_public hetu_basic lightcms_map_poi kaidian_kaidian ApsMisTest_Test权限 vis-classify_flower lpq_开放 cop_helloScope ApsMis_fangdi_permission smartapp_snsapi_base smartapp_mapp_dev_manage iop_autocar oauth_tp_app smartapp_smart_game_openapi oauth_sessionkey smartapp_swanid_verify smartapp_opensource_openapi smartapp_opensource_recapi fake_face_detect_开放Scope vis-ocr_虚拟人物助理 idl-video_虚拟人物助理 smartapp_component smartapp_search_plugin avatar_video_test b2b_tp_openapi b2b_tp_openapi_online', 'session_secret': '1c3c5dc7a59487a396b116556d03139b'}\n"
     ]
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "import requests \n",
    "\n",
    "# client_id 为官网获取的AK， client_secret 为官网获取的SK\n",
    "host = 'https://aip.baidubce.com/oauth/2.0/token?grant_type=client_credentials&client_id=aBOj6VMzbsnu68jwijjSlrur&client_secret=2fiYZVRN9OwBCmMba2yXXTnUdnIxCzAZ'\n",
    "#准备url参数\n",
    "payload = {\n",
    "    'grant_type':'client_credentials',\n",
    "    'client_id':'aBOj6VMzbsnu68jwijjSlrur',\n",
    "    'client_secret':'2fiYZVRN9OwBCmMba2yXXTnUdnIxCzAZ'\n",
    "}    \n",
    "response = requests.get(host)\n",
    "if response:\n",
    "    print(response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "b74e5cd9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'24.159372e376adb72e5e835933779703ca.2592000.1651665038.282335-25904772'"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "access_token=response.json()['access_token']\n",
    "access_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "137ed377",
   "metadata": {},
   "outputs": [],
   "source": [
    "Aileen_Ai= response.json()['access_token']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54c8ea38",
   "metadata": {},
   "source": [
    "# 1、通用物体和场景识别"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "71a5c74f",
   "metadata": {},
   "outputs": [],
   "source": [
    "接口描述\n",
    "该请求用于通用物体及场景识别，即对于输入的一张图片（可正常解码，且长宽比适宜），输出图片中的多个物体及场景标签。\n",
    "\n",
    "在线调试\n",
    "您可以在 API Explorer 中调试该接口，可进行签名验证、查看在线调用的请求内容和返回结果、示例代码的自动生成。\n",
    "\n",
    "请求说明\n",
    "请求示例\n",
    "\n",
    "HTTP 方法：POST\n",
    "\n",
    "请求URL： https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "169fa786",
   "metadata": {},
   "source": [
    "·请求参数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "51f12e20",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f59c48df",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>参数</th>\n",
       "      <th>是否必选</th>\n",
       "      <th>类型</th>\n",
       "      <th>可选值范围</th>\n",
       "      <th>说明</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>image</td>\n",
       "      <td>和url二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>url</td>\n",
       "      <td>和image二选一</td>\n",
       "      <td>string</td>\n",
       "      <td>-</td>\n",
       "      <td>图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>baike_num</td>\n",
       "      <td>否</td>\n",
       "      <td>integer</td>\n",
       "      <td>-</td>\n",
       "      <td>返回百科信息的结果数，默认不返回</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          参数       是否必选       类型 可选值范围  \\\n",
       "0      image    和url二选一   string     -   \n",
       "1        url  和image二选一   string     -   \n",
       "2  baike_num          否  integer     -   \n",
       "\n",
       "                                                  说明  \n",
       "0  图像数据，base64编码，要求base64编码后大小不超过4M，最短边至少15px，最长边...  \n",
       "1  图片完整URL，URL长度不超过1024字节，URL对应的图片base64编码后大小不超过4...  \n",
       "2                                   返回百科信息的结果数，默认不返回  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 图像识别\n",
    "url ： https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Xk3bcxe21\n",
    "pd.read_html('https://ai.baidu.com/ai-doc/IMAGERECOGNITION/Xk3bcxe21')[2]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c0b6b6f",
   "metadata": {},
   "source": [
    "请求代码示例\n",
    "\n",
    "提示一：使用示例代码前，请记得替换其中的示例Token、图片地址或Base64信息。\n",
    "\n",
    "提示二：部分语言依赖的类或库，请在代码注释中查看下载地址。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "dc5877be",
   "metadata": {},
   "outputs": [],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "通用物体和场景识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general\"\n",
    "# 二进制方式打开图片文件\n",
    "f = open('[本地文件]', 'rb')\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "params = {\"image\":img}\n",
    "access_token = '[调用鉴权接口获取的token]'\n",
    "request_url = request_url + \"?access_token=\" + access_token\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, data=params, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "d54fffdc",
   "metadata": {},
   "outputs": [
    {
     "ename": "PermissionError",
     "evalue": "[Errno 13] Permission denied: 'C:\\\\Users\\\\陈奕\\\\Desktop\\\\api'",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mPermissionError\u001b[0m                           Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-32-7a2b204cce77>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[0;32m     11\u001b[0m \u001b[1;31m# 二进制方式打开图片文件\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     12\u001b[0m \u001b[1;31m# 1.图片文件准备\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 13\u001b[1;33m \u001b[0mf\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mopen\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;34m'C:\\\\Users\\\\陈奕\\\\Desktop\\\\api'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'rb'\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;31m#绝对路径\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     14\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     15\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mPermissionError\u001b[0m: [Errno 13] Permission denied: 'C:\\\\Users\\\\陈奕\\\\Desktop\\\\api'"
     ]
    }
   ],
   "source": [
    "# encoding:utf-8\n",
    "\n",
    "import requests\n",
    "import base64\n",
    "\n",
    "'''\n",
    "通用物体和场景识别\n",
    "'''\n",
    "\n",
    "request_url = \"https://aip.baidubce.com/rest/2.0/image-classify/v2/advanced_general\"\n",
    "# 二进制方式打开图片文件\n",
    "# 1.图片文件准备\n",
    "f = open('C:\\\\Users\\\\陈奕\\\\Desktop\\\\api', 'rb')#绝对路径\n",
    "\n",
    "\n",
    "img = base64.b64encode(f.read())\n",
    "\n",
    "#params = {\"image\":img}\n",
    "\n",
    "\n",
    "\n",
    "# 2. 酬载准备/URL参数\n",
    "payload={\n",
    "    'access_token':Aileen_Ai,\n",
    "    'image':img,\n",
    "    'baike_num':5\n",
    "}\n",
    "\n",
    "headers = {'content-type': 'application/x-www-form-urlencoded'}\n",
    "response = requests.post(request_url, params=payload, headers=headers)\n",
    "if response:\n",
    "    print (response.json())"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "39f0152b",
   "metadata": {},
   "source": [
    "### 路径解读\n",
    "\n",
    "f = open('[本地文件]', 'rb')#绝对路径\n",
    "\n",
    "f = open('[本地文件]', 'rb')#相对路径        rb:read bytes 读取二进制文件格式"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "27f734b6",
   "metadata": {},
   "source": [
    "# 3、请看成品"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "fd13bda3",
   "metadata": {},
   "outputs": [],
   "source": [
    "微信小程序搜索：识相Insight"
   ]
  }
 ],
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